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Evaluation Tools

As a part of our research outcomes, we developed an eScience Learning Rubric which effectively measure student's learning. This eScience Learning Rubric can be used to illustrate major learning outcomes which an eScience program to accomplish. The rubrics mainly describe the levels of performance which eScience professionals need to possess. We employed full model rubrics which are the most descriptive type of rubric.

We present the full model rubrics in a table format including the indicators or criteria under the three gradient levels of performance. Based on our analysis of interviews and focus groups, we identified six major categories of learning outcomes:

Criteria	Sub-Criteria	Performance Descriptions
		Minimum Level	Middle Level	High Level
2. Data Curation	2.2  Storage	-Explain conceptual/physical database design components -Define the concepts of relational databases and Entity Relationship Diagram (ERD) -Restate metadata and its functions	-Sketch database schema based on requirements -Create databases using popular database management systems -Apply simple queries and functions in setting up databases	-Translate complex research problems into ERDs -Develop databases using advanced database management systems -Compose sophisticated queries and functions to set up complex databases
	2.3 Management	-Classify relational databases and models -Clean and update existing data and databases -Annotate data sets with relevant information	-Use queries, functions, grouping, and sorting -Translate (meta) data across platforms by using existing applications -Write simple scripts to manage databases	-Create database policies for the future usage -Construct sophisticated scripts to translate (meta) data and manage databases

For the access of the entire rubrics, please contact Dr. Jeffrey Stanton at jmstanto@syr.edu.